Lead LLM/ML Quantitative Analyst - North Platte, United States : Job Details

Lead LLM/ML Quantitative AnalystSelby Jennings North Platte, United States Apply now Posted 1 day ago Hybrid Job Permanent USD200000 - USD300000 per year + total compensation of $500K-$600K Lead LLM/ML Quantitative AnalystSelby Jennings North Platte, United States Apply now

Lead LLM/ML Quantitative AnalystLocation: New York, Los Angeles, Irvine, San Francisco, Miami, ChicagoFirm: Multi-Trillion AUM Global Asset ManagerA leading global asset manager with over a trillion dollars in assets under management is seeking a Lead LLM/ML Quantitative Analyst to join its Centralized Quantitative Research group. This individual will play a key role in developing and deploying advanced machine learning and large language model (LLM) solutions to enhance investment decision-making across the firm.This is a high-impact role focused on building intelligent ML agents (bots) and tools that support portfolio managers across a range of strategies, including separately managed accounts (SMAs), long-only equity portfolios, and more. The ideal candidate combines deep technical expertise with a strong understanding of financial markets and a passion for solving complex, open-ended problems.Key Responsibilities

• Lead the design and implementation of ML/LLM-based agents that integrate into firmwide investment workflows.
• Identify and prioritize high-value research initiatives.
• Apply advanced quantitative techniques to model complex financial systems and uncover actionable insights.
• Translate investment-relevant questions into testable hypotheses and scalable ML solutions.
• Partner with technology teams to build and maintain robust research and computing environments.
• Communicate research findings and model implications clearly to investment professionals and stakeholders.
• Mentorship, collaboration, and thought leadership.

Qualifications

• Advanced degree (MFE, MSc, PhD) in a quantitative field such as econometrics, mathematical finance, statistics, or physics.
• 7-15 years of experience applying AI/ML techniques to financial markets; hands-on experience with LLMs is a strong plus.
• Proficiency in quantitative programming languages such as Python, Julia, or R.
• Strong interpersonal and consulting skills with the ability to collaborate across engineering, investment, and research teams.
• Demonstrated ability to manage multiple priorities and deliver under tight deadlines.
• Excellent communication skills, both written and verbal, with the ability to tailor insights to diverse audiences.
• A self-starter mindset with a commitment to continuous learning and innovation.

We support the Financial Sciences & Services industry with talent that can truly shape the future of a business.Whether that be Quantitative Analyti...

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